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naviscoord-mcp

Open-source MCP server for Autodesk Navisworks Manage 2024-2026: AI-assisted BIM clash detection, root-cause analysis, coordination plans and verified model workflows.

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What's in it

Data offered docs-verified
ranked clash issues with deterministic scores and reasons · spatially bounded clash groups and duplicate collapse with traceable original clashes · root-cause hypotheses with measured evidence and affected occurrences · persistent issue identities, saved snapshots and delivery comparisons · work packages, trade ownership, narrative reports and PDF images · authoring element IDs and structured handoff files for downstream tools
Formats docs-verified
PDF images · structured handoff files · tables for downstream tools
Access docs-verified
Open source under MIT licence. The packaged local server needs no Python install, API key or build tools. Live coordination requires Windows and a licensed Autodesk Navisworks Manage 2024, 2025 or 2026; the AI client and Autodesk licence are separate products.

Useful for

Use cases llm-inferred
Prioritise open Navisworks clashes before a coordination meeting · Collapse repeated clashes to root-cause groups for trade discussions · Compare issue status between successive federated model deliveries · Prepare coordination work packages with trade ownership and PDF report images
Audience llm-inferred
BIM coordinators · BIM/civils engineers · design coordination managers

Limitations

Constraints docs-verified
Live coordination requires Windows and a licensed Autodesk Navisworks Manage 2024, 2025 or 2026 · Engineering approval and edits remain with the project team · Movement alternatives use element bounds and must be checked against surrounding geometry and design constraints · Revit and Power BI handoff relies on separate Horizun MCP servers
Licence
MIT
Authentication
No credentials documented in README
GitHub stars
18
Last commit
13/10/2026
Last successful page check
14/10/2026
Page health
healthy
Package
Not recorded
Verification
Not independently verified

Provenance & evidence

Tools/install/auth auto-extracted from README; quality score heuristic (stars, recency, tool count, licence).

Metadata observed 16/10/2026 · research sweep: github-search